Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics

Job description

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Principal Scientist (m/f/d) Genomic Technologies, Human Genetics and Genomics This position may be based at a GSK R&D site in UK (Stevenage), in USA (Cambridge Tech Square, MA; or Upper Providence, PA), or in Germany (Heidelberg). We are seeking an innovative scientist to join our team. The successful candidate will join the Genomic Technologies team, within GSK R&D Translational Sciences. In the Genomic Technologies group, we integrate deep and broad expertise in computational and statistical methods and techniques, to enable best-in-class analytical insight and interpretation of genetics and genomics data, to guide GSK’s drug discovery and development portfolio and pipeline decisions. The successful candidate will join an existing Statistical Genetics team and will work on projects aligned to current areas of focus, including: Discovery of new causal gene-phenotype links through analysis of large-scale individual level human genetic data. Identification of causal genes, disease-relevant mechanisms and cell types, potential drug targets, candidate biomarkers, patient subgroups and disease subtypes, through integration of genetic association data across multiple ‘omic and phenotypic layers. Predictive modelling of presence, direction and magnitude of causal gene-phenotype links, using genetic and ‘omic data, mechanistic annotation, inferred causal networks, and genome-scale perturbation data. We encourage applicants to describe in their cover letter how their qualifications, skills and experience would make them outstanding contributors to the work of Genomic Technologies and of HGG. Responsibilities Evaluating, improving, testing, and developing production implementations of best-in-class methods for analysis of genetic data, in collaboration with scientists in Data and Predictive Sciences, Biostatistics, or/and AI/ML teams. Generating large-scale analysis outputs, and/or implementing state-of-the-art tools for dynamically analysing, interpreting, and visualizing genetic and genomic data. Collaborating with partners in applied and translational teams across HGG, in experimental Target Discovery, and in GSK disease area Research Units, to influence portfolio and pipeline decisions. Staying informed about recent research in the field and considering its potential for application within GSK. Contributing to a culture of innovation, quality, and willingness to learn and improve. Why you? Qualifications, Skills and Experience: Advanced degree (PhD or equivalent) in a relevant scientific discipline. Experience working with large scale biobank data, such as UK Biobank and All of Us. Excellent programming skills in R or python, and application of techniques in reproducible research, literate programming, FAIR data principles, or software development. Experience of evaluating, improving, testing, and/or developing methods for analysis and interpretation of large-scale genetics data. Strong communication and team-working skills. Preferred Skills & Experience: Deep understanding of statistical genetics methodology. Experience working in cloud-based Trusted Research Environments. Experience with machine learning and/or advanced statistical methods. Experience working in multidisciplinary teams on complex and impactful projects. Experience with analysis of very large datasets using distributed or cloud computing technologies (e.g. SQL, PySpark, BigQuery, Docker, Nextflow). #LI-GSK Skills Applied Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate’s skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process.Germany Salary Range / Gehaltsbandbreiten Deutschland: EUR 74,250 to EUR 123,750The annual gross base salary range for new hires in this position is listed above for each applicable location. These ranges take into account a number of factors including the candidate’s skills, experience, education level and the market rate for the role. In addition, this position may offer an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. More detailed information on the total benefits package will be supplied during the recruitment process. This role is available for applicants from multiple locations, and therefore salary ranges for certain locations are also shown. Salary ranges for other locations are shown because some markets have pay transparency laws that require salary information on job postings, and those locations are potential job sites for this role. If salary ranges are not displayed in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate’s skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate’s skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these criteria.Der jährliche Brutto - Grundgehaltsrahmen für Neueinstellungen in dieser Position ist oben für jeden relevanten Standort ausgewiesen. Diese Gehaltsspannen berücksichtigen eine Reihe von Faktoren, basierend auf den Fähigkeiten, der Berufserfahrung, der Ausbildung und Qualifikation der Kandidat*innen sowie der marktüblichen Vergütung für diese Rolle. Zusätzlich kann diese Position u.a. einen jährlichen Bonus, Urlaubsgeld, eine betriebliche Altersvorsorge sowie die Berechtigung zur Teilnahme an unserem aktienbasierten Long-Term Incentive-Programm beinhalten; dies ist abhängig von der Rolle. Detailliertere Informationen zum gesamten Vergütungspaket werden während des Rekrutierungsprozesses bereitgestellt. Wenn eine Position an mehreren Standorten bzw. in mehreren Ländern ausgeübt werden kann, werden die entsprechenden Gehaltsspannen für diese Länder/Standorte angezeigt. Zusätzlich können weitere Gehaltsspannen eingeblendet werden, wenn für bestimmte Märkte gesetzliche Vorgaben zur Entgelttransparenz gelten und diese Standorte als mögliche Einsatzorte für die Rolle in Betracht kommen. Wenn für einen bestimmten Standort oder ein bestimmtes Land in der Stellenausschreibung keine Gehaltsspannen angegeben sind, wird die entsprechende Vergütung im